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IJBRA
2007
88views more  IJBRA 2007»
15 years 7 months ago
Finding molecular complexes through multiple layer clustering of protein interaction networks
: Clustering protein-protein interaction networks (PINs) helps to identify complexes that guide the cell machinery. Clustering algorithms often create a flat clustering, without co...
Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaoga...
ITSL
2008
15 years 8 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
16 years 10 days ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
LION
2010
Springer
197views Optimization» more  LION 2010»
15 years 10 months ago
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solution...
Paolo Campigotto, Andrea Passerini
ICPR
2008
IEEE
16 years 1 months ago
Spectral aggregation for clustering ensemble
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
Xi Wang, Chunyu Yang, Jie Zhou